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WHO COVID-19 Cases - Dataset

Kaggle

@kaggle.ironwolf437_who_covid_19_cases_dataset

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Uncovering the Correlation Between cases and between infection areas

Dataset Description

Overview:

  • This dataset includes the number of coronavirus cases and deaths, and the time of recording each case by country.
  • I have added a new column, continent, to provide more information about the number of infections in each continent.

Objective:

The objective of this dataset is to:

  1. Perform a data analysis to find out the number of cases and deaths in each country and continent, and compare the times when the number of cases or deaths was available.
  2. Create a machine learning model (if possible) to train the model to predict deaths based on the cases and deaths.
  • The dataset is allowed to be modified during the analysis.

Details of the columns:

| | Columns | Description | Type |
|----------------------|---------------------------------------------------------------------------------|---------------|
|1| Date_reported | Date of recording the number of cases, whether infected or dead. | Categorical |
|2| Country_code | A standardized code (ISO-3166) for the country (e.g., US for the United States).| Categorical |
|3| Country | The full name of the country where the data is collected. | Categorical |
|4| Continent | The continent on which the country is located (e.g., Asia, Europe). | Categorical |
|5| WHO_region | The specific WHO region that the country belongs to (e.g., AFRO, EMRO, EURO). | Categorical |
|6| New_cases | The number of newly reported COVID-19 cases on the reporting date. | Numerical (float) |
|7| Cumulative_cases | The total number of COVID-19 cases reported in the country to date. | Numerical (int) |
|8| New_deaths | The number of newly reported deaths due to COVID-19 on the reporting date. | Numerical (float) |
|9| Cumulative_deaths | The total number of deaths due to COVID-19 reported in the country to date. | Numerical (int) |


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